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  "author": "Hamed Khorasgani",
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  "author": "Hamed Khorasgani",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [
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  "citation": [
            
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    "https://doi.org/10.48550/arXiv.2401.16462",
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    "https://doi.org/10.48550/arXiv.2401.16462",
            
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    "https://doi.org/10.48550/arXiv.2109.15050"
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    "https://doi.org/10.48550/arXiv.2109.15050"
            
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  ],
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  "doi": "10.57702/bsibqz2m",
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  "doi": "10.57702/bsibqz2m",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-03",
            
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  "extra_authors": [
            
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    {
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      "extra_author": "Haiyan Wang",
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      "extra_author": "Haiyan Wang",
            
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    },
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      "extra_author": "Chetan Gupta",
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      "orcid": ""
            
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    },
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    {
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    {
            
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      "extra_author": "Ahmed Farahat",
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      "extra_author": "Ahmed Farahat",
            
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      "name": "multivariate-time-series",
            
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      "title": "Multivariate Time Series"
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      "title": "Multivariate Time Series"
            
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      "name": "prognostics",
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      "name": "prognostics",
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Remaining Useful Life Prediction",
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      "name": "remaining-useful-life-prediction",
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      "name": "remaining-useful-life-prediction",
            
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      "title": "Remaining Useful Life Prediction"
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      "title": "Remaining Useful Life Prediction"
            
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    }
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  "landing_page": 
            
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.nasa.gov/centers/ames/research/technical-papers/C-MAPSS-Dataset.pdf",
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.nasa.gov/centers/ames/research/technical-papers/C-MAPSS-Dataset.pdf",
            
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  "metadata_modified": "2024-12-03T10:26:07.945985",
            
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  "name": "c-mapss-dataset",
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  "name": "c-mapss-dataset",
            
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  "notes": "The C-MAPSS dataset is a multivariate time series dataset 
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  "notes": "The C-MAPSS dataset is a multivariate time series dataset 
            
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used for Remaining Useful Life (RUL) prediction. It contains data from 
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used for Remaining Useful Life (RUL) prediction. It contains data from 
            
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four sub-datasets (FD001, FD002, FD003, and FD004) with 21 variables, 
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four sub-datasets (FD001, FD002, FD003, and FD004) with 21 variables, 
            
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including temperature, pressure, and fan speed.",
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including temperature, pressure, and fan speed.",
            
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}